This file contains a list of resources that
- I would like to do again or
- I would like to try in future.
The exceptional resources are accompanied by 💛.
- Python Data Science Handbook by Jake VanderPlas 💛
- Python for Data Analysis by Wes McKinney
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Geron
- Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
- Data Science from Scratch by Joel Grus
- Fundamentals of Data Visualization by Claus O. Wilke
- Introduction to Information Retrieval
- Pro Git
- Neural Networks and Deep Learning by Michael Nielsen
- Machine Learning Engineering
- Forecasting Principles and Practice
- Deep Learning with Structured Data
- Counterfactuals and Causal Inference: Methods And Principles For Social Research (Analytical Methods for Social Research)
- Propensiy Score Analysis
These are all available on Apple Podcast except for the last one:
- Introduction to Python Programming
- Version control with git 💛
- Intro to Statistics
- Introduction to Deep Learning with PyTorch
- Machine learning
- Applied Data Science with Python Specialization
- Applied Data Science Specialization
- Natural Language Processing
- Data Science Specialization
- Advanced Data Science with IBM Specialization
- Mathematics for Machine Learning Specialization
- Mathematics for Machine Learning: Linear Algebra
- Mathematics for Machine Learning: Multivariate Calculus
- Data Science Math Skills
- Introduction to Calculus
- Algorithms Specialization
- Algorithm Part I
- Algorithm Part II
- Deep learning
- Deeplearningai Course 1: Natural Language Processing with Classification and Vector Spaces
- Deeplearningai Course 4: Natural Language Processing with Attention Models
- Feature Engineering for Machine Learning by Soledad Galli
- Feature selection for Machine Learning by Soledad Galli
- Deployment of Machine Learning Models by Soledad Galli
- Testing and Monitoring Machine Learning Model Deployments by Soledad Galli
- Machine Learning with Imbalanced Data by Soledad Galli
- Complete Python Bootcamp From Zero to Hero in Python by Jose Portilla 💛
- Python for Data Science and Machine Learning Bootcamp by Jose Portilla
- The Complete SQL Bootcamp 2020: Go from Zero to Hero by Jose Portilla
- NLP - Natural Language Processing with Python by Jose Portilla
- TensorFlow Developer Certificate in 2021: Zero to Mastery by Daniel Bourke 💛
- Data Science Essentials
- Introduction to computer science and programming
- Probability - The science of Uncertainty and Data
- CS50 by Harvard 💛
- Data Science: Inference and Modeling
- Data Science: Machine Learning
- Data Science: Visualisation
- Data Science: Probability
- Principles, Statistical and Computational Tools for Reproducible Data Science
- Calculus Applied